ObscuraCoder/code-classification

1---2dataset_info:3- config_name: clone-detection4  features:5  - name: label6    dtype:7      class_label:8        names:9          '0': '0'10          '1': '1'11  - name: source_code12    dtype: string13  splits:14  - name: train15    num_bytes: 211812339316    num_examples: 90102817  - name: validation18    num_bytes: 200982998019    num_examples: 83083220  - name: test21    num_bytes: 90044970922    num_examples: 41541623  download_size: 198664863624  dataset_size: 502840308225- config_name: complexity-prediction26  features:27  - name: source_code28    dtype: string29  - name: label30    dtype:31      class_label:32        names:33          '0': constant34          '1': cubic35          '2': linear36          '3': logn37          '4': nlogn38          '5': np39          '6': quadratic40  splits:41  - name: train42    num_bytes: 10643844.58711534243    num_examples: 380044  - name: validation45    num_bytes: 560202.346690281246    num_examples: 20047  - name: test48    num_bytes: 1448123.06619437749    num_examples: 51750  download_size: 453658251  dataset_size: 12652170.052- config_name: defect-detection53  features:54  - name: label55    dtype:56      class_label:57        names:58          '0': '0'59          '1': '1'60  - name: source_code61    dtype: string62  splits:63  - name: train64    num_bytes: 4465608365    num_examples: 2185466  - name: validation67    num_bytes: 544911368    num_examples: 273269  - name: test70    num_bytes: 551331071    num_examples: 273272  download_size: 2113930873  dataset_size: 5561850674configs:75- config_name: clone-detection76  data_files:77  - split: train78    path: clone-detection/train-*79  - split: validation80    path: clone-detection/validation-*81  - split: test82    path: clone-detection/test-*83- config_name: complexity-prediction84  data_files:85  - split: train86    path: complexity-prediction/train-*87  - split: validation88    path: complexity-prediction/validation-*89  - split: test90    path: complexity-prediction/test-*91- config_name: defect-detection92  data_files:93  - split: train94    path: defect-detection/train-*95  - split: validation96    path: defect-detection/validation-*97  - split: test98    path: defect-detection/test-*99---100 101This dataset collates three class-balanced code classification datasets in the wild, where splits have been stratified by label. The sources are:102 1031. CodeXGLUE defect detection (sourced from: [semeru/code-code-DefectDetection](https://huggingface.co/datasets/semeru/code-code-DefectDetection))1042. BigCloneBench clone detection (sourced from: [nchen909/bigclonebench-processed](https://huggingface.co/datasets/nchen909/bigclonebench-processed))1053. CodeComplex code runtime complexity prediction (sourced from: [codeparrot/codecomplex](https://huggingface.co/datasets/codeparrot/codecomplex))